Dell Inc. Precision 5530 / Windows 11 Pro 25H2 Dell Inc. Precision 5530
Geekbench AI Score
1626
Single Precision Score
2430
Half Precision Score
2273
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | edsvo |
| Upload Date | September 25 2025 06:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5530 |
| Motherboard | Dell Inc. 0N0DK2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (HP)
|
100% |
1620
301.2 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2033
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (HP)
|
99% |
2331
2.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
3524
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
99% |
1618
128.7 IPS |
|
|
Object Detection (Q)
|
88% |
1513
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4984
59.2 IPS |
|
|
Face Detection (Q)
|
97% |
4459
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2996
23.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5086
39.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4658
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7102
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
9595
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8777
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2087
77.3 IPS |
|
|
Text Classification (SP)
|
71% |
660
954.5 IPS |
|
|
Text Classification (HP)
|
71% |
761
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
536
720.6 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1329
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1151
19.9 IPS |
